[This corrects the article DOI: 10.3389/fcvm.2022.942342.].

BACKGROUND: While significant research exists on gut microbiota changes after anti-tumor necrosis factor-alpha (anti TNF-α) therapy for ulcerative colitis, little is known about the longitudinal changes related to the effects of anti TNF-α. This study aimed to investigate the dynamics of gut microbiome changes during anti TNF-α (adalimumab) therapy in patients with ulcerative colitis (UC).
RESULTS: The microbiota composition was affected by the disease severity and extent in patients with UC. Regardless of clinical remission status at each time point, patients with UC exhibited microbial community distinctions from healthy controls. Distinct amplicon sequence variants (ASVs) differences were identified throughout the course of Adalimumab (ADA) treatment at each time point. A notable reduction in gut microbiome dissimilarity was observed only in remitters. Remitters demonstrated a decrease in the relative abundances of Burkholderia-Caballeronia-Paraburkholderia and Staphylococcus as the treatment progressed. Additionally, there was an observed increase in the relative abundances of Bifidobacterium and Dorea. Given the distribution of the 48 ASVs with high or low relative abundances in the pre-treatment samples according to clinical remission at week 8, a clinical remission at week 8 with a sensitivity and specificity of 72.4% and 84.3%, respectively, was predicted on the receiver operating characteristic curve (area under the curve, 0.851).
CONCLUSIONS: The gut microbiota undergoes diverse changes according to the treatment response during ADA treatment. These changes provide insights into predicting treatment responses to ADA and offer new therapeutic targets for UC.

BACKGROUND: This study compared the clinical effectiveness of switching from tumor necrosis factor inhibitor (TNFi) to upadacitinib (TNFi-UPA), another TNFi (TNFi-TNFi), or an advanced therapy with another mechanism of action (TNFi-other MOA) in patients with rheumatoid arthritis (RA).
METHODS: Data were drawn from the Adelphi RA Disease Specific Programme™, a cross-sectional survey administered to rheumatologists and their consulting patients in Germany, France, Italy, Spain, the UK, Japan, Canada, and the USA from May 2021 to January 2022. Patients who switched treatment from an initial TNFi were stratified by subsequent therapy of interest: TNFi-UPA, TNFi-TNFi, or TNFi-other MOA. Physician-reported clinical outcomes including disease activity (with formal DAS28 scoring available for 29% of patients) categorized as remission, low/moderate/high disease activity, as well as pain were recorded at initiation of current treatment and ≥ 6 months from treatment switch. Fatigue and treatment adherence were measured ≥ 6 months from treatment switch. Inverse-probability-weighted regression adjustment compared outcomes by subsequent class of therapy: TNFi-UPA versus TNFi-TNFi, or TNFi-UPA versus TNFi-other MOA.
RESULTS: Of 503 patients who switched from their first TNFi, 261 were in TNFi-UPA, 128 in TNFi-TNFi, and 114 in TNFi-other MOA groups. At the time of switch, most patients had moderate/high disease activity (TNFi-UPA: 73%; TNFi-TNFi: 52%; TNFi-other MOA: 60%). After adjustment for differences in characteristics at point of switch, patients in TNFi-UPA group (n = 261) were significantly more likely to achieve physician-reported remission (67.7% vs. 40.3%; p = 0.0015), no pain (55.7% vs. 25.4%; p = 0.0007), and complete adherence (60.0% vs. 34.2%; p = 0.0049) compared with patients in TNFi-TNFi group (n = 121). Similar findings were observed for TNFi-UPA versus TNFi-other MOA groups (n = 111).
CONCLUSIONS: Patients who switched from TNFi to UPA had significantly better clinical outcomes of remission, no pain, and complete adherence than those who cycled TNFi or switched to another MOA.

BACKGROUND: Head-to-head studies are important to select the optimal treatment in terms of efficacy and side effect profiles when several drugs are available.
OBJECTIVE: This article describes all studies comparing the use of disease-modifying antirheumatic drugs (DMARD) in rheumatoid arthritis (RA) in head-to-head studies or in which a DMARD was at least included in an active comparison arm.
RESULTS: A total of 23 studies comparing DMARDs were identified. These included comparisons of Janus kinase (JAK) inhibitors with methotrexate and with adalimumab as well as the oral surveillance study.
CONCLUSIONS: There are already an exceptionally large number of head-to-head studies in RA, both for comparisons of efficacy and safety of DMARDs. Nevertheless, more such comparative studies are needed, for example to clarify whether adverse events of tofacitinib observed in the oral surveillance study are specific to the JAK 1/JAK 3 inhibitor or are a class effect of all JAK inhibitors.
UNASSIGNED: HINTERGRUND: Head-to-Head-Studien sind wichtig, um die optimale Therapie hinsichtlich des Wirksamkeits- und Nebenwirkungsprofils auszuwählen, wenn mehrere Medikamente zur Verfügung stehen.
UNASSIGNED: Es sollten alle Studien beschrieben werden, bei denen bei der rheumatoiden Arthritis (RA) DMARDs („disease-modifying antirheumatic drugs“) miteinander in Head-to-Head-Studien verglichen wurden oder in denen ein DMARD zumindest in einem aktiven Vergleichsarm mit untersucht wurde.
UNASSIGNED: Es wurden 23 Studien mit einem Vergleich von DMARDs identifiziert. Darunter waren u. a. die Vergleiche der JAK(Januskinase)-Inhibitoren mit Methotrexat und mit Adalimumab sowie die Oral Surveillance-Studie.
CONCLUSIONS: Es gibt bereits eine außergewöhnlich große Zahl an Head-to-Head-Studien bei der RA sowohl für Vergleiche der Wirksamkeit als auch der Sicherheit von DMARDs. Dennoch werden noch weitere solcher Vergleichsstudien benötigt, beispielsweise um zu klären, ob Nebenwirkungen des Tofacitinib aus der Oral Surveillance-Studie spezifisch für den JAK1/JAK3-Inhibitor oder aber ein Klasseneffekt aller JAK-Inhibitoren sind.

BACKGROUND: Tumor necrosis factor inhibitors (TNFis) have shown dramatic benefit in patients with spondyloarthritis (SpA). Tapering of TNFi medication may be considered in patients with sustained low disease activity because continued use of TNFis at standard doses may increase the risk of side effects including infections and impose an economic burden. However, the optimal TNFi tapering strategy for SpA patients with inactive disease has not been established. In the present study, we investigated whether tapering TNFi doses is associated with similar risk of disease flare to maintaining SpA patients on TNFis at the standard dosage.
METHODS: The MEDLINE, Embase, and Cochrane databases were systemically searched to retrieve randomized control trials (RCTs) and observational studies published prior to August 2023, that compared disease flare in SpA (including axial SpA [axSpA], psoriatic arthritis [PsA], and SpA with IBD) patients who received standard TNFi doses and those who received a tapered dose of TNFi. Odds ratios (ORs) and 95% confidence intervals (CIs) were directly retrieved or calculated, and meta-analyses were performed. Bias was assessed using funnel plots with Begg and Mazumdar rank correlation / Egger\'s regression method.
RESULTS: Among 2,237 SpA patients in the 12 studies (9 RCTs and 3 observational studies) retrieved, 1,301 received the standard TNFi dose, while 936 SpA patients underwent TNFi tapering. Of these, 216 (16.6%) standard-dose TNFi and 217 (23.2%) TNF-tapering patients experienced disease flares. The pooled OR for disease flare in TNFi-tapering patients was 1.601 (95% CI 1.276 - 2.008) compared with the standard-dose patients. The funnel plot showed no publication bias.
CONCLUSIONS: The strategy of TNFi tapering was associated with a significantly increased risk of disease flare compared to maintaining SpA patients at the standard TNF dose. Further studies are needed to determine which patients can safely undergo tapering of TNFi and to develop safe tapering strategies.

BACKGROUND: This study aimed to develop low-cost models using machine learning approaches predicting the achievement of Clinical Disease Activity Index (CDAI) remission 6 months after initiation of tumor necrosis factor inhibitors (TNFi) as primary biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) for rheumatoid arthritis (RA).
METHODS: Data of patients with RA initiating TNFi as first b/tsDMARD after unsuccessful methotrexate treatment were collected from the FIRST registry (August 2003 to October 2022). Baseline characteristics and 6-month CDAI were collected. The analysis used various machine learning approaches including logistic regression with stepwise variable selection, decision tree, support vector machine, and lasso logistic regression (Lasso), with 48 factors accessible in routine clinical practice for the prediction model. Robustness was ensured by k-fold cross validation.
RESULTS: Among the approaches tested, Lasso showed the advantages in predicting CDAI remission: with a mean area under the curve 0.704, sensitivity 61.7%, and specificity 69.9%. Predicted TNFi responders achieved CDAI remission at an average rate of 53.2%, while only 26.4% of predicted TNFi non-responders achieved remission. Encouragingly, the models generated relied solely on patient-reported outcomes and quantitative parameters, excluding subjective physician input.
CONCLUSIONS: While external cohort validation is warranted for broader applicability, this study highlights the potential for a low-cost predictive model to predict CDAI remission following TNFi treatment. The approach of the study using only baseline data and 6-month CDAI measures, suggests the feasibility of establishing regional cohorts to generate low-cost models tailored to specific regions or institutions. This may facilitate the application of regional/in-house precision medicine strategies in RA management.
This study aims to enhance the management of rheumatoid arthritis by predicting the likelihood of achieving the treatment target—Clinical Disease Activity Index remission within 6 months of initiating tumor necrosis factor inhibitors. In rheumatoid arthritis, the goal is often Clinical Disease Activity Index remission, and the standard approach involves using medications like methotrexate and biologic/targeted synthetic disease-modifying antirheumatic drugs. However, not all patients respond to these treatments, leading to a trial-and-error process of changing medications. Tumor necrosis factor inhibitors are commonly used as the initial biologic/targeted synthetic disease-modifying antirheumatic drugs for patients who do not respond adequately to methotrexate; however, tumor necrosis factor inhibitor treatment may not achieve effective outcomes for all patients. The study, using a cohort of patients with rheumatoid arthritis treated with tumor necrosis factor inhibitor, has developed a model predicting Clinical Disease Activity Index remission with tumor necrosis factor inhibitors. The models use only standard clinical parameters, therefore no special examination or additional cost is required for the predictions. This approach holds the potential to improve rheumatoid arthritis management by reducing the need for trial-and-error approaches and facilitating more personalized and effective treatment strategies. While further validation is necessary, the study also suggests that creating cost-effective models tailored to specific regions or institutions is possible.

BACKGROUND: Pharmacokinetic non-inferiority of subcutaneous (SC) to intravenous (IV) CT-P13 maintenance therapy was demonstrated in a randomized trial (NCT02883452). This post hoc analysis evaluated longitudinal clinical outcomes with the two infliximab treatment strategies.
METHODS: Patients with Crohn\'s disease or ulcerative colitis received CT‑P13 IV loading doses (5 mg/kg; Week [W] 0 and W2) before randomization (1:1) to receive CT-P13 SC (body weight-based dosing every 2 weeks [Q2W]; W6-54; \'SC maintenance group\') or CT‑P13 IV (5 mg/kg Q8W; W6-22) then CT-P13 SC (Q2W; W30-54; \'IV-to-SC switch group\'). Paired W30/W54 patient-level data were analyzed.
RESULTS: Fifty-three (IV-to-SC switch) and fifty-nine (SC maintenance) patients were analyzed. Median trough serum CT-P13 concentrations were significantly higher at W54 versus W30 in the IV-to-SC switch group (20.4 versus 2.3 µg/mL; p < 0.00001), while remaining consistent in the SC maintenance group. Statistically significant improvements in pharmacokinetics, efficacy, fecal calprotectin levels, and quality of life were seen following switch to SC administration at W30 in the IV-to-SC switch group; safety findings were similar pre- and post-switch.
CONCLUSIONS: Formulation switching from IV to SC infliximab maintenance therapy was well tolerated and may provide additional clinical improvements. Findings require confirmation in larger prospective studies.

To provide an updated understanding of risks and benefits of Janus kinase inhibitors (JAKi) versus biologic disease-modifying antirheumatic drugs (bDMARDs) in the management of rheumatoid arthritis (RA).
Shared decision-making is needed in choosing between JAKi and bDMARDs. Cardiovascular disease, malignancy, and thromboembolic events guide this choice. In patients with active RA despite methotrexate use, tumor necrosis factor inhibitor is conditionally favored over JAKi for low-cardiovascular-risk patients and strongly favored in those with pre-existing cardiovascular disease or multiple cardiovascular risk factors. Suboptimal treatment of treatment-refractory RA patients may pose a greater absolute cardiovascular risk than with JAKi use. Use of aspirin and statin may be considered to reduce cardiovascular risk. New safety data on JAKi has redefined the treatment approach in RA. JAKi remains an important oral medication option in active RA despite treatment with bDMARDs, especially in those with low cardiovascular risk.

To determine the prevalence of sustained remission/low disease activity (LDA) in patients with rheumatoid arthritis (RA) after discontinuation of tumor necrosis factor inhibitors (TNFi), separately in induction treatment and maintenance treatment studies, and to identify predictors of successful discontinuation.
We performed a systematic literature review of studies published from 2005 to May 2022 that reported outcomes after TNFi discontinuation among patients in remission/LDA. We computed prevalences of successful discontinuation by induction or maintenance treatment, remission criterion, and follow-up time. We performed a scoping review of predictors of successful discontinuation.
Twenty-two induction-withdrawal studies were identified. In pooled analyses, 58% (95% confidence interval (CI) 45, 70) had DAS28 < 3.2 (9 studies), 52% (95% CI 35, 69) had DAS28 < 2.6 (9 studies), and 40% (95% CI 18, 64) had SDAI ≤ 3.3 (4 studies) at 37-52 weeks after discontinuation. Among patients who continued TNFi, 62 to 85% maintained remission. Twenty-two studies of maintenance treatment discontinuation were also identified. At 37-52 weeks after TNFi discontinuation, 48% (95% CI 38, 59) had DAS28 < 3.2 (10 studies), and 47% (95% CI 33, 62) had DAS28 < 2.6 (6 studies). Heterogeneity among studies was high. Data on predictors in induction-withdrawal studies were limited. In both treatment scenarios, longer duration of RA was most consistently associated with less successful discontinuation.
Approximately one-half of patients with RA remain in remission/LDA for up to 1 year after TNFi discontinuation, with slightly higher proportions in induction-withdrawal settings than with maintenance treatment discontinuation.

To characterize disease activity trajectories and compare long-term drug retention between rheumatoid (RA) and spondylarthritis (SpA) patients initiating tumor necrosis factor inhibitor (TNFi) treatment (etanercept). Prospective observational study of RA, axial (AxSpA) and peripheral SpA (PerSpA) patients initiating etanercept during 2004-2020. Kaplan-Meier plots were used for drug retention comparisons and multivariable Cox regression models for predictors of discontinuation. Long-term disease activity trajectories were identified by latent class growth models using DAS28-ESR or ASDAS-CRP as outcome for RA and AxSpA respectively. We assessed 711 patients (450 RA, 178 AxSpA and 83 PerSpA) with a median (IQR) follow-up of 12 (5-32) months. At 5 years, 22%, 30% and 21% of RA, AxSpA and PerSpA patients, respectively, remained on therapy. Etanercept discontinuation was independent of the diagnosis and was predicted by gender and obesity in both RA and SpA groups. Four disease activity (DA) trajectories were identified from 6th month of treatment in both RA and AxSpA. RA patients in remission-low DA groups (33.7%) were younger, had shorter disease duration, fewer comorbidities and lower baseline disease activity compared to moderate (40.6%) & high DA (25.7%) groups. In AxSpA 74% were in inactive-low DA and they were more often males, non-obese and had lower number of comorbidities compared to higher ASDAS-CRP trajectories. In RA and AxSpA patients, disease activity trajectories revealed heterogeneity of TNFi treatment responses and prognosis. Male gender, lower baseline disease activity and fewer comorbidities, characterize a favourable outcome in terms of disease burden accrual and TNFi survival.